code: def keras_model_1d():
      model = Sequential()
      model.add(
          ZeroPadding1D(
              input_shape=(in_width, in_feat), padding=(pad_l, pad_r)
          )
      )
      model.compile()
      return model
  
file_path: hls4ml/test/pytest/test_zeropadding.py
imports: from pathlib import Path
  import numpy
  import pytest
  from tensorflow.keras.layers import ZeroPadding1D, ZeroPadding2D
  from tensorflow.keras.models import Sequential
  import hls4ml
label_desc: Use image node_id 3 for calling a global function with example usage: keras_model_1d() and returns: model